Patents by Inventor Tapan Kumar Khan

Tapan Kumar Khan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230235378
    Abstract: The present invention relates to methods of diagnosing Alzheimer's Disease in a human patient by detecting alterations in the ratio of PKC epsilon protein levels in a human patient compared with PKC epsilon levels in a control subject. The Alzheimer's disease-specific molecular biomarkers disclosed herein are useful for the diagnosis of Alzheimer's disease and for screening methods for the identification of compounds for treating or preventing Alzheimer's disease. The present invention also provides methods for elevating PKC epsilon protein levels comprising the steps of contacting one or more human cells with an amount of a PKC activator effective to elevate PKC epsilon levels compared to an uncontacted human cell.
    Type: Application
    Filed: November 10, 2022
    Publication date: July 27, 2023
    Inventors: Tapan Kumar Khan, Daniel L. Alkon
  • Patent number: 11099174
    Abstract: The present disclosure relates to a peripheral diagnostic method for screening Alzheimer's disease in patients based on quantitatively measured complexity of skin-sampled fibroblast networks.
    Type: Grant
    Filed: May 14, 2019
    Date of Patent: August 24, 2021
    Inventors: Florin V. Chirila, Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20210132045
    Abstract: Methods of diagnosing Alzheimer's disease are provided. At least five methods of diagnostic measurements are presented: Method 1: Integrated score; Method 2: Average aggregate area per number of aggregates; Method 3: Cell migration analysis; Method 4: Fractal analysis; Method 5: Lacunarity Analysis. In certain embodiments, a sample of a subject's skin provides a network of fibroblasts that is imaged and a fractal dimension of the image is calculated. The fractal dimension can be compared to an aged-matched control (non-Alzheimer's) database to determine if the subject has Alzheimer's disease. The network of fibroblasts may be cultured in a matrix, for example in a protein mixture.
    Type: Application
    Filed: October 9, 2020
    Publication date: May 6, 2021
    Inventors: Florin Valentin CHIRILA, Tapan Kumar KHAN, Daniel L. ALKON
  • Publication number: 20190331668
    Abstract: The present disclosure relates to a peripheral diagnostic method for screening Alzheimer's disease in patients based on quantitatively measured complexity of skin-sampled fibroblast networks.
    Type: Application
    Filed: May 14, 2019
    Publication date: October 31, 2019
    Inventors: Florin V. Chirila, Tapan Kumar Khan, Daniel L. Alkon
  • Patent number: 10317396
    Abstract: The present disclosure relates to a peripheral diagnostic method for screening Alzheimer's disease in patients based on quantitatively measured complexity of skin-sampled fibroblast networks.
    Type: Grant
    Filed: May 11, 2012
    Date of Patent: June 11, 2019
    Assignee: West Virginia University
    Inventors: Florin V. Chirila, Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20180024146
    Abstract: The present invention relates to methods of diagnosing Alzheimer's Disease as well as to methods of confirming the presence or absence of Alzheimer's Disease in a subject. The present invention is also directed to methods of identifying a lead compound useful for the treatment of Alzheimer's Disease by contacting non-Alzheimer's cells with an amyloid beta peptide, stimulating the cells with a protein kinase C activator, contacting the cells with a test compound, and determining the value of an Alzheimer's Disease-specific molecular biomarker. The present invention is also directed to methods of diagnosing Alzheimer's Disease in a subject by detecting alterations in the ratio of specific phosphorylated MAP kinase proteins in cells after stimulation with a protein kinase C activator.
    Type: Application
    Filed: September 29, 2017
    Publication date: January 25, 2018
    Inventors: Tapan Kumar Khan, Daniel L. Alkon
  • Patent number: 9797913
    Abstract: The present invention relates to methods of diagnosing Alzheimer's Disease as well as to methods of confirming the presence or absence of Alzheimer's Disease in a subject. The present invention is also directed to methods of identifying a lead compound useful for the treatment of Alzheimer's Disease by contacting non-Alzheimers cells with an amyloid beta peptide, stimulating the cells with a protein kinase C activator, contacting the cells with a test compound, and determining the value of an Alzheimer's Disease-specific molecular biomarker. The present invention is also directed to methods of diagnosing Alzheimer's Disease in a subject by detecting alterations in the ratio of specific phosphorylated MAP kinase proteins in cells after stimulation with a protein kinase C activator.
    Type: Grant
    Filed: February 22, 2013
    Date of Patent: October 24, 2017
    Assignee: Blanchette Rockefeller Neuroscienses Inc.
    Inventors: Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20140329264
    Abstract: Methods of diagnosing Alzheimer's disease are provided. At least five methods of diagnostic measurements are presented: Method 1: Integrated score; Method 2: Average aggregate area per number of aggregates; Method 3: Cell migration analysis; Method 4: Fractal analysis; Method 5: Lacunarity Analysis. In certain embodiments, a sample of a subject's skin provides a network of fibroblasts that is imaged and a fractal dimension of the image is calculated. The fractal dimension can be compared to an aged-matched control (non-Alzheimer's) database to determine if the subject has Alzheimer's disease. The network of fibroblasts may be cultured in a matrix, for example in a protein mixture.
    Type: Application
    Filed: February 10, 2014
    Publication date: November 6, 2014
    Applicant: Blanchette Rockefeller Neurosciences Institute
    Inventors: Florin Valentin CHIRILA, Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20140248648
    Abstract: The present disclosure relates to a peripheral diagnostic method for screening Alzheimer's disease in patients based on quantitatively measured complexity of skin-sampled fibroblast networks.
    Type: Application
    Filed: May 11, 2012
    Publication date: September 4, 2014
    Applicant: Blanchette Rockefeller Neurosciences Institute
    Inventors: Florin V. Chirila, Tapan Kumar Khan, Daniel L. Alkon
  • Patent number: 8822166
    Abstract: The present invention relates to a method for diagnosing Alzheimer's Disease (AD) using PKC-elicited gene expression profiles. PKC-activation elicits different genomic profiles in AD cells, as compared with control cells, which can be used to diagnose AD and individuals at risk for developing AD.
    Type: Grant
    Filed: July 28, 2009
    Date of Patent: September 2, 2014
    Assignee: Blanchette Rockefeller Neurosciences Institute
    Inventors: Daniel L. Alkon, Tapan Kumar Khan
  • Patent number: 8658134
    Abstract: Methods of diagnosing Alzheimer's disease are provided. At least five methods of diagnostic measurements are presented: Method 1: Integrated score; Method 2: Average aggregate area per number of aggregates; Method 3: Cell migration analysis; Method 4; Fractal analysis; Method 5: Lacunarity Analysis. In certain embodiments, a sample of a subject's skin provides a network of fibroblasts that is imaged and a fractal dimension of the image is calculated. The fractal dimension can be compared to an aged-matched control (non-Alzheimer's) database to determine if the subject has Alzheimer's disease. The network of fibroblasts may be cultured in a matrix, for example in a protein mixture.
    Type: Grant
    Filed: October 2, 2010
    Date of Patent: February 25, 2014
    Assignee: Blanchette Rockefeller Neurosciences Institute
    Inventors: Florin Valentin Chirila, Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20140038186
    Abstract: The present invention relates to methods of diagnosing Alzheimer's Disease in a human patient by detecting alterations in the ratio of PKC epsilon protein levels in a human patient compared with PKC epsilon levels in a control subject. The Alzheimer's disease-specific molecular biomarkers disclosed herein are useful for the diagnosis of Alzheimer's disease and for screening methods for the identification of compounds for treating or preventing Alzheimer's disease. The present invention also provides methods for elevating PKC epsilon protein levels comprising the steps of contacting one or more human cells with an amount of a PKC activator effective to elevate PKC epsilon levels compared to an uncontacted human cell.
    Type: Application
    Filed: February 22, 2011
    Publication date: February 6, 2014
    Inventors: Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20110212474
    Abstract: The present invention provides a method for the diagnosis of AD from non-AD conditions by using a PKC Isozyme Index obtained by determining ratios of ratios of different PKC Isozymes in peripheral cells of a test subject in the absence and presence of a beta-amyloid peptide, and optionally, in the presence of a PKC activator.
    Type: Application
    Filed: October 1, 2010
    Publication date: September 1, 2011
    Applicant: BLANCHETTE ROCKEFELLER NEUROSCIENCES INSTITUTE
    Inventors: Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20110136144
    Abstract: Methods of diagnosing Alzheimer's disease are provided. At least five methods of diagnostic measurements are presented: Method 1: Integrated score; Method 2: Average aggregate area per number of aggregates; Method 3: Cell migration analysis; Method 4; Fractal analysis; Method 5: Lacunarity Analysis. In certain embodiments, a sample of a subject's skin provides a network of fibroblasts that is imaged and a fractal dimension of the image is calculated. The fractal dimension can be compared to an aged-matched control (non-Alzheimer's) database to determine if the subject has Alzheimer's disease. The network of fibroblasts may be cultured in a matrix, for example in a protein mixture.
    Type: Application
    Filed: October 2, 2010
    Publication date: June 9, 2011
    Inventors: Florin Valentin Chirila, Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20100021913
    Abstract: The present invention relates to a method for diagnosing Alzheimer's Disease (AD) using PKC-elicited gene expression profiles PKC-activation elicits different genomic profiles in AD cells, as compared with control cells, which can he used to diagnose AD and individuals at risk for developing AD.
    Type: Application
    Filed: July 28, 2009
    Publication date: January 28, 2010
    Applicant: Blanchette Rockefeller Neurosciences Institute
    Inventors: Daniel L. Alkon, Tapan Kumar Khan
  • Patent number: 7595167
    Abstract: The present invention is directed to a method of diagnosing Alzheimer's disease in a subject by detecting alterations in the ratio of specific phosphorylated MAP kinase proteins in cells after stimulation with a protein kinase C activator. The Alzheimer's disease-specific molecular biomarkers disclosed herein are useful for the diagnosis of Alzheimer's disease, monitoring the progression of Alzheimer's disease in a subject and in screening methods for the identification of compounds for treating or preventing Alzheimer's disease. The invention is also directed to kits containing reagents for the detection and diagnosis of Alzheimer's disease using the Alzheimer's disease-specific molecular biomarkers disclosed herein.
    Type: Grant
    Filed: October 11, 2005
    Date of Patent: September 29, 2009
    Assignee: Blanchette Rockefeller Neurosciences Institute
    Inventors: Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20090029873
    Abstract: The present invention relates to methods of diagnosing Alzheimer's Disease as well as to methods of confirming the presence or absence of Alzheimer's Disease in a subject. The present invention is also directed to methods of identifying a lead compound useful for the treatment of Alzheimer's Disease by contacting non-Alzheimer's cells with an amyloid beta peptide, stimulating the cells with a protein kinase C activator, contacting the cells with a test compound, and determining the value of an Alzheimer's Disease-specific molecular biomarker. The present invention is also directed to methods of diagnosing Alzheimer's Disease in a subject by detecting alterations in the ratio of specific phosphorylated MAP kinase proteins in cells after stimulation with a protein kinase C activator.
    Type: Application
    Filed: September 25, 2006
    Publication date: January 29, 2009
    Inventors: Tapan Kumar Khan, Daniel L. Alkon
  • Publication number: 20080221042
    Abstract: The present invention relates to methods of diagnosing Alzheimer's Disease as well as to methods of confirming the presence or absence of Alzheimer's Disease in a subject. The present invention is also directed to methods of identifying a lead compound useful for the treatment of Alzheimer's Disease by contacting non-Alzheimer's cells with an amyloid beta peptide, stimulating the cells with a protein kinase C activator, contacting the cells with a test compound, and determining the value of an Alzheimer's Disease-specific molecular biomarker. The present invention is also directed to methods of diagnosing Alzheimer's Disease in a subject by detecting alterations in the ratio of specific phosphorylated MAP kinase proteins in cells after stimulation with a protein kinase C activator.
    Type: Application
    Filed: April 7, 2008
    Publication date: September 11, 2008
    Inventors: Tapan Kumar Khan, Daniel L. Alkon